def __init__(self,Ti,ARCHIVE_DIR,search_type,postfix_dir=""):
'''
timelistcontainer is a reader class for files
produced by SatValidation, in operational chain or similar sequential runs
Arguments:
* Ti * a TimeInterval
* ARCHIVE_DIR * string indicating path of the chain archive directory e.g. /pico/home/usera07ogs/a07ogs00/OPA/V2C/archive/
* search_type * string, having one of these values: f0, f1, f2, a0, a1, a2
* postfix_dir * string to pass to TimeSeries objects
'''
self.timelist=[]
self.filelist=[]
self.bias = None
self.number=None
self.rmse =None
self.model =None
self.sat = None
self.rmselog = None
self.biaslog = None
self.search_type=search_type
TS=TimeSeries(Ti,archive_dir=ARCHIVE_DIR, postfix_dir=postfix_dir, glob_pattern="Validation_f0")
search_paths = TS.get_runs([2])
for _, directory in search_paths:
dirlist=glob.glob(directory + "Validation_" + search_type + "*")
if len(dirlist)> 0:
self.filelist.append(dirlist[0])
self.nFrames = len(self.filelist)
self.read_basic_info(self.filelist[0])
self.readfiles()
def __init__(self,Ti,ARCHIVE_DIR,postfix_dir=""):
self.timelist=[]
self.filelist=[]
self.bias = None
self.number=None
self.rmse =None
TS=TimeSeries(Ti,archive_dir=ARCHIVE_DIR, postfix_dir=postfix_dir, glob_pattern="BioFloat_Weekly_validation")
search_paths = TS.get_runs([2])
for _, directory in search_paths:
dirlist=glob.glob(directory + "BioFloat_Weekly_validation*")
if len(dirlist)> 0:
self.filelist.append(dirlist[0])
self.nFrames = len(self.filelist)
self.read_basic_info(self.filelist[0])
self.readfiles()
